Artificial Intelligence Review - Special issue on lazy learning
Machine Learning
The use and impact of human resource information systems on human resource management professionals
Information and Management
A rule-based CBR approach for expert finding and problem diagnosis
Expert Systems with Applications: An International Journal
A case-based reasoning approach for land use change prediction
Expert Systems with Applications: An International Journal
A case based reasoning approach on supplier selection in petroleum enterprises
Expert Systems with Applications: An International Journal
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This paper presents a case-based reasoning (CBR) approach for evaluating and selecting human resource management information systems (IS) projects in an organization. The concept on case-based distance is introduced for measuring the degree of similarity between each case in the case base and the new case. To avoid the inconsistency of the decision maker's subjective assessment, an induction technique is applied to help assign the importance of the criteria in the similarity measure. A human resource management IS project evaluation and selection problem is presented to demonstrate the effectiveness of the approach.